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Open source information, investor attention, and asset pricing

Citations

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Cited by:

  1. Tihana Škrinjarić, 2019. "Time Varying Spillovers between the Online Search Volume and Stock Returns: Case of CESEE Markets," IJFS, MDPI, vol. 7(4), pages 1-30, October.
  2. Zhang, Wei & Li, Xiao & Shen, Dehua & Teglio, Andrea, 2016. "Daily happiness and stock returns: Some international evidence," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 460(C), pages 201-209.
  3. Gupta, Kartick & Banerjee, Rajabrata, 2019. "Does OPEC news sentiment influence stock returns of energy firms in the United States?," Energy Economics, Elsevier, vol. 77(C), pages 34-45.
  4. Zhen-Hua Yang & Jian-Guo Liu & Chang-Rui Yu & Jing-Ti Han, 2017. "Quantifying the effect of investors’ attention on stock market," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-16, May.
  5. Shi, Guiqiang & Goodell, John W. & Shen, Dehua, 2024. "Return volatility and trading volume of GameFi," Journal of Behavioral and Experimental Finance, Elsevier, vol. 43(C).
  6. Aouadi, Amal & Arouri, Mohamed & Roubaud, David, 2018. "Information demand and stock market liquidity: International evidence," Economic Modelling, Elsevier, vol. 70(C), pages 194-202.
  7. Tong Liu & Guojun He & Alexis Lau, 2018. "Avoidance behavior against air pollution: evidence from online search indices for anti-PM2.5 masks and air filters in Chinese cities," Environmental Economics and Policy Studies, Springer;Society for Environmental Economics and Policy Studies - SEEPS, vol. 20(2), pages 325-363, April.
  8. Chen, Conghui & Liu, Lanlan, 2022. "How effective is China's cryptocurrency trading ban?," Finance Research Letters, Elsevier, vol. 46(PB).
  9. Gao, Yang & Zhao, Kun & Wang, Chao & Liu, Chao, 2020. "The dynamic relationship between internet attention and stock market liquidity: A thermal optimal path method," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 550(C).
  10. Xiong, Xiong & Bian, Yuxiang & Shen, Dehua, 2018. "The time-varying correlation between policy uncertainty and stock returns: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 499(C), pages 413-419.
  11. Ziyao Wang & Yufei Xia & Yating Fu & Ying Liu, 2023. "Volatility Spillover Dynamics and Determinants between FinTech and Traditional Financial Industry: Evidence from China," Mathematics, MDPI, vol. 11(19), pages 1-23, September.
  12. Agarwal, Shweta & Kumar, Shailendra & Goel, Utkarsh, 2019. "Stock market response to information diffusion through internet sources: A literature review," International Journal of Information Management, Elsevier, vol. 45(C), pages 118-131.
  13. Desagre, Christophe & D’Hondt, Catherine, 2021. "Googlization and retail trading activity," Journal of Behavioral and Experimental Finance, Elsevier, vol. 29(C).
  14. Zhang, Yongjie & Zhang, Zuochao & Liu, Lanbiao & Shen, Dehua, 2017. "The interaction of financial news between mass media and new media: Evidence from news on Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 486(C), pages 535-541.
  15. Shen, Dehua & Liu, Lanbiao & Zhang, Yongjie, 2018. "Quantifying the cross-sectional relationship between online sentiment and the skewness of stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 490(C), pages 928-934.
  16. Songtao Wu & Jianmin He & Chao Wang, 2017. "Effects of Common Factors on Dynamics of Stocks Traded by Investors with Limited Information Capacity," Discrete Dynamics in Nature and Society, Hindawi, vol. 2017, pages 1-15, September.
  17. Lei Cong & Miranda Mirosa & William Kaye-Blake & Phil Bremer, 2020. "Immune-Boosting Functional Foods: A Potential Remedy for Chinese Consumers Living Under Polluted Air," Business and Management Studies, Redfame publishing, vol. 6(1), pages 1227-1227, December.
  18. Tony Chieh‐Tse Hou, 2019. "The relationship between corporate social responsibility and sustainable financial performance: firm‐level evidence from Taiwan," Corporate Social Responsibility and Environmental Management, John Wiley & Sons, vol. 26(1), pages 19-28, January.
  19. Shen, Dehua & Li, Xiao & Zhang, Wei, 2018. "Baidu news information flow and return volatility: Evidence for the Sequential Information Arrival Hypothesis," Economic Modelling, Elsevier, vol. 69(C), pages 127-133.
  20. Gang Chu & John W. Goodell & Dehua Shen & Yongjie Zhang, 2022. "Machine learning to establish proxies for investor attention: evidence of improved stock-return prediction," Annals of Operations Research, Springer, vol. 318(1), pages 103-128, November.
  21. Wei Zhang & Kai Yan & Dehua Shen, 2021. "Can the Baidu Index predict realized volatility in the Chinese stock market?," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-31, December.
  22. Zuochao Zhang & Yongjie Zhang & Dehua Shen & Wei Zhang, 2018. "The Dynamic Cross-Correlations between Mass Media News, New Media News, and Stock Returns," Complexity, Hindawi, vol. 2018, pages 1-11, February.
  23. Chu, Gang & Dowling, Michael & Shen, Dehua & Zhang, Yongjie, 2023. "Information demand density matters: Evidence from the post-earnings announcement drift," International Review of Financial Analysis, Elsevier, vol. 86(C).
  24. Zhao, Ruwei, 2020. "Quantifying the cross sectional relation of daily happiness sentiment and return skewness: Evidence from US industries," Journal of Behavioral and Experimental Finance, Elsevier, vol. 27(C).
  25. Dehua Shen & Xiao Li & Andrea Teglio & Wei Zhang, 2016. "The impact of information-based familiarity on the stock market," Working Papers 2016/08, Economics Department, Universitat Jaume I, Castellón (Spain).
  26. Zhang, Wei & Li, Xiao & Shen, Dehua & Teglio, Andrea, 2016. "R2 and idiosyncratic volatility: Which captures the firm-specific return variation?," Economic Modelling, Elsevier, vol. 55(C), pages 298-304.
  27. Zhang, Yuzhao & Liu, Haifei, 2021. "Stock market reactions to social media: Evidence from WeChat recommendations," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 562(C).
  28. Fan, Xiaoqian & Yuan, Ying & Zhuang, Xintian & Jin, Xiu, 2017. "Long memory of abnormal investor attention and the cross-correlations between abnormal investor attention and trading volume, volatility respectively," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 469(C), pages 323-333.
  29. Gabriele Ranco & Ilaria Bordino & Giacomo Bormetti & Guido Caldarelli & Fabrizio Lillo & Michele Treccani, 2016. "Coupling News Sentiment with Web Browsing Data Improves Prediction of Intra-Day Price Dynamics," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-14, January.
  30. Ana Brochado, 2016. "Investor attention and Portuguese stock market volatility: We’ll google it for you!," EcoMod2016 9345, EcoMod.
  31. Zhang, Zuochao & Shen, Dehua, 2024. "Firm-specific new media sentiment and price synchronicity," Research in International Business and Finance, Elsevier, vol. 69(C).
  32. Shi, Guiqiang & Shen, Dehua & Zhu, Zhaobo, 2024. "Herding towards carbon neutrality: The role of investor attention," International Review of Financial Analysis, Elsevier, vol. 91(C).
  33. Shen, Dehua & Li, Xiao & Zhang, Wei, 2017. "Baidu news coverage and its impacts on order imbalance and large-size trade of Chinese stocks," Finance Research Letters, Elsevier, vol. 23(C), pages 210-216.
  34. Lee, Chien-Chiang & Chang, Chi-Hung & Chen, Mei-Ping, 2015. "Industry co-movements of American depository receipts: Evidences from the copula approaches," Economic Modelling, Elsevier, vol. 46(C), pages 301-314.
  35. Chen, Xing & Diao, Xundi & Wu, Chongfeng, 2022. "Heterogeneous investor attention and post earnings announcement drift: Evidence from China," Economic Modelling, Elsevier, vol. 110(C).
  36. Li, Xiao & Shen, Dehua & Zhang, Wei, 2018. "Do Chinese internet stock message boards convey firm-specific information?," Pacific-Basin Finance Journal, Elsevier, vol. 49(C), pages 1-14.
  37. Lin, Shen & Ren, Da & Zhang, Wei & Zhang, Yongjie & Shen, Dehua, 2016. "Network interdependency between social media and stock trading activities: Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 305-312.
  38. Zhang, Wei & Bi, Zhengzheng & Shen, Dehua, 2017. "Investor structure and the price–volume relationship in a continuous double auction market: An agent-based modeling perspective," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 467(C), pages 345-355.
  39. Gao, Yang & Wang, Yaojun & Wang, Chao & Liu, Chao, 2018. "Internet attention and information asymmetry: Evidence from Qihoo 360 search data on the Chinese stock market," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 802-811.
  40. Xu, Kewei & Xiong, Xiong & Li, Xiao, 2021. "The maturity effect of stock index futures: Speculation or carry arbitrage?," Research in International Business and Finance, Elsevier, vol. 58(C).
  41. Christophe Desagre & Catherine D'Hondt, 2020. "Googlization and retail investors' trading activity," LIDAM Discussion Papers LFIN 2020004, Université catholique de Louvain, Louvain Finance (LFIN).
  42. Zhang, Yongjie & Chu, Gang & Shen, Dehua, 2021. "The role of investor attention in predicting stock prices: The long short-term memory networks perspective," Finance Research Letters, Elsevier, vol. 38(C).
  43. Patrick Houlihan & Germán G. Creamer, 2017. "Can Sentiment Analysis and Options Volume Anticipate Future Returns?," Computational Economics, Springer;Society for Computational Economics, vol. 50(4), pages 669-685, December.
  44. Dehua Shen & Yongjie Zhang & Xiong Xiong & Wei Zhang, 2017. "Baidu index and predictability of Chinese stock returns," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 3(1), pages 1-8, December.
  45. Wei Zhang & Pengfei Wang, 2020. "Investor attention and the pricing of cryptocurrency market," Evolutionary and Institutional Economics Review, Springer, vol. 17(2), pages 445-468, July.
  46. Li, Xin & Ma, Jian & Wang, Shouyang & Zhang, Xun, 2015. "How does Google search affect trader positions and crude oil prices?," Economic Modelling, Elsevier, vol. 49(C), pages 162-171.
  47. Zhang, Wei & Li, Yi & Zhang, Zuochao & Shen, Dehua, 2018. "The dynamic cross-correlations between foreign news, local news and stock returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 509(C), pages 861-872.
  48. Chu, Gang & Li, Xiao & Zhang, Yongjie, 2022. "Information demand and net selling around earnings announcement," Research in International Business and Finance, Elsevier, vol. 59(C).
  49. Hu, Yitong & Li, Xiao & Goodell, John W. & Shen, Dehua, 2021. "Investor attention shocks and stock co-movement: Substitution or reinforcement?," International Review of Financial Analysis, Elsevier, vol. 73(C).
  50. Shen, Dehua & Zhang, Wei & Xiong, Xiong & Li, Xiao & Zhang, Yongjie, 2016. "Trading and non-trading period Internet information flow and intraday return volatility," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 451(C), pages 519-524.
  51. Zhao, Ruwei & Xiong, Xiong & Shen, Dehua, 2018. "Investor attention and performance of IPO firms: Evidence from online searches," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 342-348.
  52. Shen, Dehua & Li, Xiao & Xue, Mei & Zhang, Wei, 2017. "Does microblogging convey firm-specific information? Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 482(C), pages 621-626.
  53. Xiong Xiong & Zhang Jin & Jin Xi & Feng Xu, 2016. "Review on Financial Innovations in Big Data Era," Journal of Systems Science and Information, De Gruyter, vol. 4(6), pages 489-504, December.
  54. Chun Li & Xingwu Duan, 2020. "Exploration of Urban Interaction Features Based on the Cyber Information Flow of Migrant Concern: A Case Study of China’s Main Urban Agglomerations," IJERPH, MDPI, vol. 17(12), pages 1-20, June.
  55. Xu, Zhiwei & Liu, Xuan & Zhang, Teng & Ren, Pengyue, 2024. "Do corporate managers glean information from their stock prices? New evidence from China's strategic emerging industries," Economic Modelling, Elsevier, vol. 141(C).
  56. Ren-jie Han & Shi-yuan Liu & Qian Li, 2019. "Do Chinese Internet Users Exist Heterogeneity in Search Behavior?," Papers 1911.00715, arXiv.org.
  57. Yang, Baochen & Ye, Tao & Ma, Yao, 2022. "Financing anomaly, mispricing and cross-sectional return predictability," International Review of Economics & Finance, Elsevier, vol. 79(C), pages 579-598.
  58. Zhao, Ruwei, 2020. "Quantifying the cross sectional relation of daily happiness sentiment and stock return: Evidence from US," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 538(C).
  59. Clements, A.E. & Liao, Y., 2020. "Firm-specific information and systemic risk," Economic Modelling, Elsevier, vol. 90(C), pages 480-493.
  60. Sun, Qingqing & Chen, Hong & Long, Ruyin & Chen, Jiawei, 2024. "Integrated prediction of carbon price in China based on heterogeneous structural information and wall-value constraints," Energy, Elsevier, vol. 306(C).
  61. Hua, Sheng & Liu, Huina & Ji, Zheng & Liang, Han, 2025. "The impact of air pollution on crowdfunding donations for critical illnesses: Evidence from China," China Economic Review, Elsevier, vol. 91(C).
  62. Zhao, Ruwei, 2020. "Quantifying the correlation of media coverage and stock price crash risk: A panel study from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 537(C).
  63. Jin, Xi & Shen, Dehua & Zhang, Wei, 2016. "Has microblogging changed stock market behavior? Evidence from China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 452(C), pages 151-156.
  64. Zhang, Yongjie & Song, Weixin & Shen, Dehua & Zhang, Wei, 2016. "Market reaction to internet news: Information diffusion and price pressure," Economic Modelling, Elsevier, vol. 56(C), pages 43-49.
  65. Zhang, Zuochao & Zhang, Yongjie & Shen, Dehua & Zhang, Wei, 2018. "The cross-correlations between online sentiment proxies: Evidence from Google Trends and Twitter," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 508(C), pages 67-75.
  66. Zhang, Yongjie & Feng, Lina & Jin, Xi & Shen, Dehua & Xiong, Xiong & Zhang, Wei, 2014. "Internet information arrival and volatility of SME PRICE INDEX," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 399(C), pages 70-74.
  67. Wang, Chen & Xiong, Xiong & Shen, Dehua, 2022. "Tail risks, firm characteristics, and stock returns," Pacific-Basin Finance Journal, Elsevier, vol. 75(C).
  68. Zhang, Wei & Wang, Pengfei & Li, Xiao & Shen, Dehua, 2018. "The inefficiency of cryptocurrency and its cross-correlation with Dow Jones Industrial Average," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 510(C), pages 658-670.
  69. Gang Chu & John W. Goodell & Xiao Li & Yongjie Zhang, 2023. "Understanding short‐term price pressure from index reconstitutions: Evidence from the CSI 300," Accounting and Finance, Accounting and Finance Association of Australia and New Zealand, vol. 63(2), pages 2421-2440, June.
  70. Yongjie Zhang & Yue Li & Dehua Shen, 2022. "Investor Attention and the Carbon Emission Markets in China: A Nonparametric Wavelet-Based Causality Test," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 29(1), pages 123-137, March.
  71. Yingxiu Zhao & Wei Zhang & Xiangyu Kong, 2019. "Dynamic Cross-Correlations between Participants’ Attentions to P2P Lending and Offline Loan in the Private Lending Market," Complexity, Hindawi, vol. 2019, pages 1-8, December.
  72. Zhang, Yongjie & Zhang, Yuzhao & Shen, Dehua & Zhang, Wei, 2017. "Investor sentiment and stock returns: Evidence from provincial TV audience rating in China," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 466(C), pages 288-294.
  73. Goodell, John W. & Kumar, Satish & Li, Xiao & Pattnaik, Debidutta & Sharma, Anuj, 2022. "Foundations and research clusters in investor attention: Evidence from bibliometric and topic modelling analysis," International Review of Economics & Finance, Elsevier, vol. 82(C), pages 511-529.
  74. Xiaolei Li & Jian Li & Ping Qing & Wuyang Hu, 2021. "COVID-19 and the Change in Lifestyle: Bodyweight, Time Allocation, and Food Choices," IJERPH, MDPI, vol. 18(19), pages 1-14, October.
  75. Li, Xiao & Shen, Dehua & Xue, Mei & Zhang, Wei, 2017. "Daily happiness and stock returns: The case of Chinese company listed in the United States," Economic Modelling, Elsevier, vol. 64(C), pages 496-501.
  76. Lin, Yong & Wang, Renyu & Gong, Xingyue & Jia, Guozhu, 2022. "Cross-correlation and forecast impact of public attention on USD/CNY exchange rate: Evidence from Baidu Index," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 604(C).
  77. Wang, Chen & Shen, Dehua & Li, Youwei, 2022. "Aggregate Investor Attention and Bitcoin Return: The Long Short-term Memory Networks Perspective," Finance Research Letters, Elsevier, vol. 49(C).
  78. Gang Chu & Xiao Li & Dehua Shen & Yongjie Zhang, 2021. "Stock Crashes and Jumps Reactions to Information Demand and Supply: An Intraday Analysis," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 28(3), pages 397-427, September.
  79. Zhang, Bing & Wang, Yudong, 2015. "Limited attention of individual investors and stock performance: Evidence from the ChiNext market," Economic Modelling, Elsevier, vol. 50(C), pages 94-104.
  80. Zhang, Xiaotao & Li, Guoran & Li, Yishuo & Zou, Gaofeng & Wu, Ji George, 2023. "Which is more important in stock market forecasting: Attention or sentiment?," International Review of Financial Analysis, Elsevier, vol. 89(C).
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